Senior Data Scientist

Role Description

Build the AI/ML solutions that help our clients turn data into action as a Data Scientist Senior at GDIT. Your work will deliver transformative solutions to our clients' big data obstacles and help advance the mission. Here, you can make a meaningful impact on our clients' mission and on your career.

At GDIT, people are our differentiator. GDIT Technology Shared Services (TSS) is seeking a Data Scientist Senior to transform how government agencies use data. Our work depends on a hands-on data scientist joining our team to design and implement artificial intelligence solutions supporting the Centers for Medicare & Medicaid Services (CMS) Hosting, Operations & Maintenance (HOM) program.

HOW THE DATA SCIENTIST SENIOR WILL MAKE AN IMPACT:

• Accelerate our work by integrating advanced AI capabilities across our suite.
• Accelerate the use of and evaluate the efficacy of AI coding tools across the team.
• Implement both custom-built and vendor/COTS AI solutions, hands-on, from prototype through production.
• Design and implement AI solutions for automated program accomplishment tracking and reporting, including intelligent classification systems and proactive knowledge management.
• Implement generative AI (GenAI) with large language models (LLMs) and retrieval augmented generation (RAG) to deliver precise, data-driven responses.
• Build an agentic framework enabling service ticket management, account administration, and intelligent journey orchestration.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, or related field.
• 5+ years of experience as a data scientist in AI/ML with a proven track record of deploying production solutions required.
• 8+ years of experience as a data scientist in AI/ML with a proven track record of deploying production solutions preferred.
• Strong AI/ML coding ability, with the capability to implement both custom and vendor-based solutions independently and use of AI coding tools.
• Experience with generative AI (GenAI) using large language models (LLMs).
• Strong foundation in machine learning, statistical analysis, and experimental design with both quantitative and qualitative data.
• Expertise in AI/ML cloud technologies (preferably on AWS, including Bedrock, Lambda, and SageMaker).
• Experience integrating AI solutions with legacy enterprise systems and orchestration platforms.
• Familiarity with data engineering, ETL processes, data pipelines, and APIs.
• Strong communication skills with the ability to translate technical concepts to stakeholders and leadership.

Requirements

• Remote location.
• Scheduled Weekly Hours: 40.
• Travel Required: Less than 10%.

Benefits

• AI-powered career tool that identifies career steps and learning opportunities.
• An internal mobility team focused on helping you achieve your career goals.
• Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off.
• Full-flex work week to own your priorities at work and at home.
• Award-winning culture of innovation and a military-friendly workplace.